Critical trees are neither too short nor too fat

We establish lower tail bounds for the height, and upper tail bounds for the width, of critical size-conditioned Bienaymé trees. Our bounds are optimal at this level of generality. We also obtain precise height and width asymptotics when the trees’ offspring distributions lie within the domain of attraction of a Cauchy distribution and satisfy a local regularity condition. Finally, we pose some questions on the possible asymptotic behaviours of the height and width of critical size-conditioned Bienaymé trees.

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Publication Details

Journal
Annales Henri Lebesgue
Published
2025-05-20
DOI
https://doi.org/10.5802/ahl.231
Citations
1
Primary Topic
Stochastic processes and statistical mechanics
Type
article
Field-Weighted Citation Impact
3.69

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article

Critical trees are neither too short nor too fat

Serte Donderwinkel, Louigi Addario‐Berry, Igor Kortchemski
1 citations
Annales Henri Lebesgue
Stochastic processes and statistical mechanics
3.69
article

Critical trees are neither too short nor too fat

Serte Donderwinkel, Louigi Addario‐Berry, Igor Kortchemski
article en
1 citations

Abstract

We establish lower tail bounds for the height, and upper tail bounds for the width, of critical size-conditioned Bienaymé trees. Our bounds are optimal at this level of generality. We also obtain precise height and width asymptotics when the trees’ offspring distributions lie within the domain of attraction of a Cauchy distribution and satisfy a local regularity condition. Finally, we pose some questions on the possible asymptotic behaviours of the height and width of critical size-conditioned Bienaymé trees.

Annales Henri LebesgueVol. 8
Centre National de la Recherche Scientifique (FR), École Polytechnique (FR), University of Groningen (NL), McGill University (CA)
McGill University, Natural Sciences and Engineering Research Council of Canada
Life in Land
Openalex Percentile: Top 10%
Stochastic processes and statistical mechanics
3.69
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Critical trees are neither too short nor too fat — Serte Donderwinkel, Louigi Addario‐Berry, et al. · Annales Henri Lebesgue (2025) | TGRS Research Map | TGRS